实验进化
上位性
生物
复制
收敛演化
分子进化
适应(眼睛)
选择(遗传算法)
进化生物学
定向进化
遗传学
人口
计算生物学
进化策略
基因
进化计算
基因组
系统发育学
计算机科学
机器学习
数学
人口学
神经科学
社会学
突变体
统计
作者
Bryan C. Dickinson,Aaron M. Leconte,Benjamin Allen,Kevin M. Esvelt,David R. Liu
标识
DOI:10.1073/pnas.1220670110
摘要
To what extent are evolutionary outcomes determined by a population's recent environment, and to what extent do they depend on historical contingency and random chance? Here we apply a unique experimental system to investigate evolutionary reproducibility and path dependence at the protein level. We combined phage-assisted continuous evolution with high-throughput sequencing to analyze evolving protein populations as they adapted to divergent and then convergent selection pressures over hundreds of generations. Independent populations of T7 RNA polymerase genes were subjected to one of two selection histories (“pathways”) demanding recognition of distinct intermediate promoters followed by a common final promoter. We observed distinct classes of solutions with unequal phenotypic activity and evolutionary potential evolve from the two pathways, as well as from replicate populations exposed to identical selection conditions. Mutational analysis revealed specific epistatic interactions that explained the observed path dependence and irreproducibility. Our results reveal in molecular detail how protein adaptation to different environments, as well as stochasticity among populations evolved in the same environment, can both generate evolutionary outcomes that preclude subsequent convergence.
科研通智能强力驱动
Strongly Powered by AbleSci AI